The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "20630475 (up from 20343589 yesterday: 1.41 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "749580 (up from 742615 yesterday: 0.94 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5400735

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.63



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5197118 55910 1.09 1227033 166026 1499 0.91 3.19
Brazil 3164785 55155 1.77 937271 104201 1175 1.14 3.29
India 2396637 66999 2.88 1157839 47033 942 2.04 1.96
Russia 900745 5054 0.56 112855 15231 128 0.85 1.69
South Africa 568919 2810 0.50 173971 11010 259 2.41 1.94
Peru 498555 8875 1.81 132005 21713 212 0.99 4.36
Mexico 498380 5858 1.19 136106 54666 737 1.37 10.97
Colombia 422519 12066 2.94 204091 13837 362 2.69 3.27
Chile 378168 1552 0.41 43485 10205 27 0.27 2.70
Iran 333699 2510 0.76 52286 18988 188 1.00 5.69
Spain 329784 3172 0.97 62233 28579 -2 -0.01 8.67
United Kingdom 315581 2187 0.70 17629 46791 180 0.39 14.83
Saudi Arabia 293037 1569 0.54 34881 3269 36 1.11 1.12
Pakistan 286674 1483 0.52 17483 6139 27 0.44 2.14
Argentina 268574 7663 2.94 126674 5213 209 4.18 1.94
Bangladesh 266498 2995 1.14 53244 3513 42 1.21 1.32
Italy 251713 476 0.19 6681 35225 10 0.03 13.99
Turkey 244392 1212 0.50 21990 5891 18 0.31 2.41
France 244088 4733 1.98 28483 30375 47 0.15 12.44
Germany 220859 1319 0.60 16583 9213 5 0.05 4.17
Iraq 160436 3441 2.19 60571 5588 57 1.03 3.48
Philippines 143749 4211 3.02 71480 2404 92 3.98 1.67
Indonesia 130718 1942 1.51 38967 5903 79 1.36 4.52
Canada 122703 314 0.26 8913 9052 14 0.15 7.38
Qatar 113938 292 0.26 6067 190 2 1.06 0.17
Kazakhstan 101372 517 0.51 24573 1269 0 0.00 1.25
Ecuador 97110 1547 1.62 19853 5984 33 0.55 6.16
Egypt 95963 129 0.13 6218 5085 26 0.51 5.30
Bolivia 95071 1743 1.87 30936 3827 66 1.75 4.03
China 89045 87 0.10 3139 4697 4 0.09 5.27
Israel 88151 1558 1.80 32066 639 17 2.73 0.72
Ukraine 86504 1481 1.74 24209 1999 20 1.01 2.31
Sweden 83455 329 0.40 4951 5774 4 0.07 6.92
Oman 82299 249 0.30 10752 539 6 1.13 0.65
Dominican Republic 82224 1130 1.39 26181 1371 25 1.86 1.67
Panama 77377 913 1.19 21471 1703 23 1.37 2.20
Belgium 75647 639 0.85 11020 9900 15 0.15 13.09
Kuwait 73785 717 0.98 12600 489 3 0.62 0.66
Belarus 69102 97 0.14 2581 595 3 0.51 0.86
Romania 65177 1415 2.22 25014 2807 43 1.56 4.31
United Arab Emirates 63212 246 0.39 5478 358 0 0.00 0.57
Netherlands 61718 778 1.28 9243 6182 2 0.03 10.02
Guatemala 59089 1123 1.94 17954 2267 34 1.52 3.84
Singapore 55395 42 0.08 6651 27 0 0.00 0.05
Poland 53676 715 1.35 12514 1830 9 0.49 3.41
Portugal 53223 278 0.53 4073 1764 3 0.17 3.31
Japan 51288 986 1.96 24152 1066 8 0.76 2.08
Honduras 48657 254 0.52 12555 1533 18 1.19 3.15
Nigeria 47743 453 0.96 9399 956 0 0.00 2.00
Bahrain 45264 460 1.03 7627 166 1 0.61 0.37
Ghana 41572 168 0.41 11900 223 8 3.72 0.54
Armenia 40794 201 0.50 5101 806 3 0.37 1.98
Kyrgyzstan 40759 304 0.75 10410 1484 6 0.41 3.64
Afghanistan 37345 76 0.20 1618 1354 10 0.74 3.63
Switzerland 37169 274 0.74 3286 1991 1 0.05 5.36
Algeria 36699 495 1.37 11827 1333 11 0.83 3.63
Morocco 36694 1499 4.26 18732 556 23 4.32 1.52
Azerbaijan 33824 93 0.28 5191 497 2 0.40 1.47
Uzbekistan 32654 907 2.86 14275 211 7 3.43 0.65
Venezuela 29088 1150 4.12 15924 247 9 3.78 0.85
Serbia 28751 254 0.89 6720 658 6 0.92 2.29
Moldova 28697 474 1.68 6899 863 6 0.70 3.01
Kenya 28104 679 2.48 13299 456 18 4.11 1.62
Ireland 26838 37 0.14 1019 1774 1 0.06 6.61
Ethiopia 25118 943 3.90 13594 463 23 5.23 1.84
Costa Rica 25057 549 2.24 12696 263 8 3.14 1.05
Nepal 24432 484 2.02 6338 91 8 9.64 0.37
Austria 22439 194 0.87 2510 724 1 0.14 3.23
Australia 22358 231 1.04 9053 361 9 2.56 1.61
El Salvador 21644 375 1.76 8669 577 7 1.23 2.67
Czechia 19075 292 1.55 4505 391 0 0.00 2.05
Cameroon 18263 50 0.27 1741 401 3 0.75 2.20
Cote d’Ivoire 16847 0 0.00 2114 105 0 0.00 0.62
Denmark 15423 132 0.86 1869 621 0 0.00 4.03
West Bank and Gaza 15184 309 2.08 5786 105 1 0.96 0.69
Bosnia and Herzegovina 14961 253 1.72 5846 453 6 1.34 3.03
Korea, South 14770 56 0.38 832 305 0 0.00 2.06
Bulgaria 13893 171 1.25 4309 482 11 2.34 3.47
Madagascar 13397 80 0.60 5235 156 4 2.63 1.16
North Macedonia 12217 134 1.11 2670 530 1 0.19 4.34
Sudan 12033 0 0.00 796 786 0 0.00 6.53
Senegal 11587 207 1.82 2466 242 4 1.68 2.09
Kosovo 10419 0 0.00 4133 341 0 0.00 3.27

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 591376 12430 2.15 170090 10753 230 2.19 1.82 14966.91 272.14 1 in 67
Florida 550901 8109 1.49 171282 8765 212 2.48 1.59 25649.86 408.10 1 in 39
Texas 523977 6277 1.21 160362 9527 305 3.31 1.82 18070.74 328.56 1 in 55
New York 422703 700 0.17 13817 32797 10 0.03 7.76 21728.82 1685.91 1 in 46
Georgia 226153 3565 1.60 73851 4456 105 2.41 1.97 21300.18 419.69 1 in 47
Illinois 199893 1645 0.83 33418 7881 15 0.19 3.94 15774.61 621.93 1 in 63
Arizona 189443 706 0.37 38834 4347 148 3.52 2.29 24877.96 570.86 1 in 40
New Jersey 185938 463 0.25 8293 15885 -5 -0.03 8.54 20933.80 1788.41 1 in 48
North Carolina 139739 996 0.72 34463 2290 52 2.32 1.64 13323.60 218.34 1 in 75
Louisiana 134304 1179 0.89 34950 4356 43 1.00 3.24 28890.07 937.02 1 in 35
Tennessee 126393 1478 1.18 41976 1289 18 1.42 1.02 18496.97 188.64 1 in 54
Pennsylvania 125918 902 0.72 17731 7380 37 0.50 5.86 9835.82 576.47 1 in 102
Massachusetts 121707 0 0.00 7387 8751 0 0.00 7.19 17513.05 1259.23 1 in 57
Alabama 104786 935 0.90 32973 1882 35 1.89 1.80 21371.01 383.83 1 in 47
Ohio 104248 1422 1.38 25506 3734 26 0.70 3.58 8918.39 319.44 1 in 112
South Carolina 102974 844 0.83 27932 2144 46 2.19 2.08 19999.95 416.41 1 in 50
Virginia 102521 776 0.76 22128 2352 8 0.34 2.29 12011.10 275.55 1 in 83
Michigan 98689 476 0.48 14959 6539 6 0.09 6.63 9881.89 654.76 1 in 101
Maryland 97384 541 0.56 17212 3612 8 0.22 3.71 16108.03 597.45 1 in 62
Indiana 76522 660 0.87 17849 3086 17 0.55 4.03 11366.53 458.39 1 in 88
Mississippi 69374 1081 1.58 22303 1989 45 2.31 2.87 23309.99 668.31 1 in 43
Washington 64702 551 0.86 15455 1724 8 0.47 2.66 8496.77 226.40 1 in 118
Missouri 62956 1516 2.47 26459 1354 8 0.59 2.15 10257.72 220.61 1 in 97
Minnesota 62303 464 0.75 14342 1724 17 1.00 2.77 11047.35 305.69 1 in 91
Wisconsin 62263 478 0.77 17416 1011 5 0.50 1.62 10693.64 173.64 1 in 94
Nevada 58048 528 0.92 19391 996 15 1.53 1.72 18845.80 323.36 1 in 53
Colorado 51737 315 0.61 10057 1875 1 0.05 3.62 8984.09 325.59 1 in 111
Arkansas 51096 685 1.36 15850 572 6 1.06 1.12 16931.40 189.54 1 in 59
Connecticut 50706 22 0.04 2483 4450 6 0.14 8.78 14222.14 1248.15 1 in 70
Iowa 49973 452 0.91 9765 953 7 0.74 1.91 15838.95 302.05 1 in 63
Oklahoma 45398 670 1.50 18100 627 9 1.46 1.38 11472.92 158.45 1 in 87
Utah 45090 338 0.76 9512 351 2 0.57 0.78 14064.44 109.48 1 in 71
Kentucky 36945 1152 3.22 12405 790 7 0.89 2.14 8269.41 176.83 1 in 121
Kansas 32097 629 2.00 8616 397 4 1.02 1.24 11017.35 136.27 1 in 91
Nebraska 29244 214 0.74 5758 356 5 1.42 1.22 15117.80 184.04 1 in 66
Idaho 26134 536 2.09 9812 246 0 0.00 0.94 14583.18 137.27 1 in 69
Puerto Rico 24074 671 2.87 11036 295 8 2.79 1.23 7537.98 92.37 1 in 133
New Mexico 22816 173 0.76 4988 695 2 0.29 3.05 10881.19 331.45 1 in 92
Oregon 22022 248 1.14 6629 375 7 1.90 1.70 5221.28 88.91 1 in 192
Rhode Island 20129 76 0.38 2067 1018 2 0.20 5.06 19001.08 960.96 1 in 53
Delaware 15765 66 0.42 1973 592 1 0.17 3.76 16189.75 607.95 1 in 62
District of Columbia 12959 63 0.49 1430 593 0 0.00 4.58 18362.05 840.24 1 in 54
South Dakota 9815 102 1.05 1738 147 1 0.68 1.50 11094.67 166.17 1 in 90
West Virginia 8018 139 1.76 2806 153 6 4.08 1.91 4486.48 85.61 1 in 223
North Dakota 7970 85 1.08 2603 120 2 1.69 1.51 10458.47 157.47 1 in 96
New Hampshire 6887 26 0.38 592 420 1 0.24 6.10 5065.05 308.89 1 in 197
Montana 5268 164 3.21 2456 80 3 3.90 1.52 4928.99 74.85 1 in 203
Maine 4070 18 0.44 348 126 0 0.00 3.10 3027.80 93.74 1 in 330
Hawaii 3958 202 5.38 2523 38 4 11.76 0.96 2795.45 26.84 1 in 358
Alaska 3879 60 1.57 1748 27 1 3.85 0.70 5302.48 36.91 1 in 189
Wyoming 3086 13 0.42 798 29 0 0.00 0.94 5332.10 50.11 1 in 188
Vermont 1478 6 0.41 112 58 0 0.00 3.92 2368.63 92.95 1 in 422

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9303467 591376 6.36 2639048 170090 6.45 235458.0
2 Florida 4087579 550901 13.48 932868 171282 18.36 190317.0
3 Texas 4106360 523977 12.76 1002212 160362 16.00 141618.7
4 New York 6728481 422703 6.28 1429841 13817 0.97 345874.0
5 Georgia 1916742 226153 11.80 599898 73851 12.31 180528.0
6 Illinois 3191101 199893 6.26 841439 33418 3.97 251826.5
7 Arizona 1044228 189443 18.14 230247 38834 16.87 137129.7
8 New Jersey 2376016 185938 7.83 535087 8293 1.55 267503.4
9 North Carolina 1823283 139739 7.66 331463 34463 10.40 173843.3
10 Louisiana 1598609 134304 8.40 445708 34950 7.84 343876.1
11 Tennessee 1759692 126393 7.18 495864 41976 8.47 257521.9
12 Pennsylvania 1393106 125918 9.04 321629 17731 5.51 108819.5
13 Massachusetts 1346344 121707 9.04 276282 7387 2.67 193732.4
14 Alabama 795771 104786 13.17 186283 32973 17.70 162296.8
15 Ohio 1728380 104248 6.03 506785 25506 5.03 147862.5
16 South Carolina 800089 102974 12.87 190929 27932 14.63 155395.9
17 Virginia 1287556 102521 7.96 333369 22128 6.64 150846.8
18 Michigan 2181841 98689 4.52 622228 14959 2.40 218471.2
19 Maryland 1078838 97384 9.03 296005 17212 5.81 178447.8
20 Indiana 866994 76522 8.83 212581 17849 8.40 128782.8
21 Mississippi 507814 69374 13.66 104784 22303 21.28 170627.9
22 Washington 1014258 64702 6.38 173074 15455 8.93 133194.0
23 Missouri 798581 62956 7.88 209121 26459 12.65 130116.6
24 Minnesota 952785 62303 6.54 64234 14342 22.33 168944.5
25 Wisconsin 1090377 62263 5.71 277164 17416 6.28 187271.7
26 Nevada 527535 58048 11.00 123227 19391 15.74 171268.9
27 Colorado 601300 51737 8.60 143898 10057 6.99 104415.3
28 Arkansas 573571 51096 8.91 133345 15850 11.89 190061.0
29 Connecticut 919283 50706 5.52 244877 2483 1.01 257842.6
30 Iowa 528148 49973 9.46 101712 9765 9.60 167396.6
31 Oklahoma 722107 45398 6.29 216509 18100 8.36 182489.8
32 Utah 581209 45090 7.76 99807 9512 9.53 181290.3
33 Kentucky 674775 36945 5.48 155700 12405 7.97 151035.0
34 Kansas 334563 32097 9.59 65877 8616 13.08 114839.3
35 Nebraska 308462 29244 9.48 65841 5758 8.75 159460.7
36 Idaho 212244 26134 12.31 58273 9812 16.84 118435.4
38 New Mexico 640337 22816 3.56 158806 4988 3.14 305383.5
39 Oregon 462542 22022 4.76 109748 6629 6.04 109665.9
40 Rhode Island 226133 20129 8.90 39277 2067 5.26 213461.7
41 Delaware 202200 15765 7.80 42767 1973 4.61 207647.9
42 District of Columbia 226741 12959 5.72 67169 1430 2.13 321277.1
43 South Dakota 123628 9815 7.94 22570 1738 7.70 139746.5
44 West Virginia 335239 8018 2.39 92852 2806 3.02 187583.3
45 North Dakota 173019 7970 4.61 33753 2603 7.71 227040.6
46 New Hampshire 180451 6887 3.82 34913 592 1.70 132712.8
47 Montana 196036 5268 2.69 52518 2456 4.68 183420.7
48 Maine 199118 4070 2.04 54100 348 0.64 148129.9
49 Hawaii 150233 3958 2.63 42051 2523 6.00 106106.3
50 Alaska 292582 3879 1.33 107249 1748 1.63 399950.8
51 Wyoming 59331 3086 5.20 15116 798 5.28 102514.2
52 Vermont 105073 1478 1.41 19331 112 0.58 168389.2

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 560126 11813 2.15 390958 69.80 149798 19063 413 2.21 3.40
Tamil Nadu 320355 5835 1.86 261459 81.62 53499 5397 119 2.25 1.68
Andhra Pradesh 264142 9996 3.93 170924 64.71 90840 2378 82 3.57 0.90
Karnataka 203200 6706 3.41 121242 59.67 78335 3614 103 2.93 1.78
Delhi 149460 956 0.64 134318 89.87 10975 4167 14 0.34 2.79
Uttar Pradesh 140775 4537 3.33 88786 63.07 49709 2280 50 2.24 1.62
West Bengal 107323 2997 2.87 78617 73.25 26447 2259 56 2.54 2.10
Bihar 94459 3906 4.31 62507 66.17 31467 484 10 2.11 0.51
Telangana 86475 1931 2.28 63074 72.94 22736 665 11 1.68 0.77
Gujarat 75482 1092 1.47 58539 77.55 14212 2731 18 0.66 3.62
Assam 71796 2796 4.05 49384 68.78 22240 169 8 4.97 0.24
Rajasthan 57414 1314 2.34 41819 72.84 14762 833 11 1.34 1.45
Odisha 52653 1981 3.91 37901 71.98 14385 367 9 2.51 0.70
Haryana 44817 793 1.80 37486 83.64 6820 511 8 1.59 1.14
Madhya Pradesh 42618 1014 2.44 31835 74.70 9718 1065 17 1.62 2.50
Kerala 39708 1564 4.10 25688 64.69 13842 130 3 2.36 0.33
Punjab 27936 1027 3.82 17839 63.86 9391 706 31 4.59 2.53
Jammu and Kashmir 26949 536 2.03 19302 71.62 7138 509 11 2.21 1.89
Jharkhand 20950 693 3.42 13013 62.11 7728 209 7 3.47 1.00
Chhattisgarh 14030 478 3.53 9658 68.84 4255 117 8 7.34 0.83
Uttarakhand 11302 416 3.82 7014 62.06 4103 143 3 2.14 1.27
Goa 10494 570 5.74 6912 65.87 3491 91 2 2.25 0.87
Puducherry 6680 299 4.69 3828 57.31 2750 102 6 6.25 1.53
Tripura 6618 121 1.86 4912 74.22 1644 44 1 2.33 0.66
Manipur 4112 130 3.26 2295 55.81 1804 13 1 8.33 0.32
Himachal Pradesh 3816 180 4.95 2435 63.81 1327 18 1 5.88 0.47
Nagaland 3168 50 1.60 1139 35.95 2015 7 0 0.00 0.22
Arunachal Pradesh 2512 82 3.37 1718 68.39 790 4 1 33.33 0.16
Andaman and Nicobar Islands 2037 137 7.21 924 45.36 1091 22 1 4.76 1.08
Ladakh 1849 38 2.10 1282 69.33 558 9 0 0.00 0.49
Chandigarh 1842 91 5.20 1076 58.41 737 28 1 3.70 1.52
Dadra and Nagar Haveli and Daman and Diu 1741 46 2.71 1281 73.58 445 2 0 0.00 0.11
Meghalaya 1193 14 1.19 547 45.85 640 6 0 0.00 0.50
Sikkim 932 2 0.22 581 62.34 350 1 0 0.00 0.11
Mizoram 649 1 0.15 343 52.85 306 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1387206 97054 102 0.11 7.00 165 10 5521 16833 17.34
Piemonte 527588 31956 42 0.13 6.06 76 3 855 4138 12.95
Emilia-Romagna 745489 30220 41 0.14 4.05 78 4 1807 4298 14.22
Veneto 1332649 20801 60 0.29 1.56 33 6 1333 2092 10.06
Toscana 457566 10707 33 0.31 2.34 15 3 563 1137 10.62
Liguria 205100 10330 26 0.25 5.04 17 2 227 1569 15.19
Lazio 447675 8920 37 0.42 1.99 190 9 1121 868 9.73
Marche 178788 6976 16 0.23 3.90 10 0 167 987 14.15
Campania 352838 5143 29 0.57 1.46 43 2 424 440 8.56
P.A. Trento 165002 4998 0 0.00 3.03 2 1 68 405 8.10
Puglia 261101 4793 33 0.69 1.84 43 2 262 554 11.56
Sicilia 301641 3603 29 0.81 1.19 43 6 562 284 7.88
Abruzzo 137776 3516 9 0.26 2.55 23 1 221 472 13.42
Friuli Venezia Giulia 274643 3461 9 0.26 1.26 7 3 164 348 10.05
P.A. Bolzano 116822 2779 4 0.14 2.38 6 0 130 292 10.51
Umbria 130245 1517 6 0.40 1.16 9 0 57 80 5.27
Sardegna 115018 1462 1 0.07 1.27 6 0 83 134 9.17
Calabria 130228 1304 4 0.31 1.00 8 1 110 97 7.44
Valle d’Aosta 22839 1217 0 0.00 5.33 5 0 15 146 12.00
Molise 29443 479 0 0.00 1.63 0 0 29 23 4.80
Basilicata 49919 477 0 0.00 0.96 0 0 72 28 5.87

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60813 95 0.16 5709 12 0.21 9.39 7122.90 668.68 1 in 140
Ontario 42233 71 0.17 2833 1 0.04 6.71 2870.68 192.57 1 in 348
Alberta 11893 121 1.03 217 1 0.46 1.82 2694.90 49.17 1 in 371
British Columbia 4111 0 0.00 195 0 0.00 4.74 804.36 38.15 1 in 1243
Saskatchewan 1484 5 0.34 20 0 0.00 1.35 1255.85 16.93 1 in 796
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 578 16 2.85 8 0 0.00 1.38 419.60 5.81 1 in 2383
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 178 1 0.56 2 0 0.00 1.12 228.21 2.56 1 in 4382
Prince Edward Island 41 5 13.89 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4243 63 1.48
Guangdong 1707 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 883 3 0.34
Shandong 821 7 0.85
Shanghai 800 7 0.88
Jiangsu 659 0 0.00
Sichuan 618 3 0.49
Chongqing 583 6 1.03
Fujian 368 1 0.27
Hebei 351 6 1.71
Shaanxi 341 3 0.88
Liaoning 261 2 0.77
Inner Mongolia 259 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 15883.61 507.41 1 in 63
Brazil 15120.81 497.85 1 in 66
India 1789.87 35.13 1 in 559
Russia 6233.53 105.40 1 in 160
South Africa 10030.31 194.11 1 in 100
Peru 15497.51 674.95 1 in 65
Mexico 3857.43 423.11 1 in 259
Colombia 8610.54 281.98 1 in 116
Chile 20951.14 565.37 1 in 48
Iran 4111.62 233.96 1 in 243
Spain 7067.81 612.49 1 in 141
United Kingdom 4749.86 704.26 1 in 211
Saudi Arabia 8896.08 99.24 1 in 112
Pakistan 1455.20 31.16 1 in 687
Argentina 6066.73 117.75 1 in 165
Bangladesh NA NA 1 in NA
Italy 4161.92 582.42 1 in 240
Turkey 3024.28 72.90 1 in 331
France 3643.65 453.43 1 in 274
Germany 2667.70 111.28 1 in 375

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 228729 23602 10.32
Los Angeles California 214283 5112 2.39
Miami-Dade Florida 139271 1939 1.39
Maricopa Arizona 127188 2493 1.96
Cook Illinois 113044 4934 4.36
Harris Texas 88494 1679 1.90
Broward Florida 64080 859 1.34
Dallas Texas 55787 794 1.42
Clark Nevada 50081 842 1.68
Suffolk New York 43948 1998 4.55
Nassau New York 43761 2195 5.02
Bexar Texas 43455 826 1.90
Riverside California 43376 824 1.90
Orange California 41823 745 1.78
San Bernardino California 38290 555 1.45
Palm Beach Florida 37934 954 2.51
Westchester New York 36324 1447 3.98
Hillsborough Florida 33198 426 1.28
San Diego California 33157 602 1.82
Tarrant Texas 32666 469 1.44
Orange Florida 32341 325 1.00
Philadelphia Pennsylvania 31725 1709 5.39
Wayne Michigan 28391 2828 9.96
Middlesex Massachusetts 26565 2006 7.55
Kern California 25179 183 0.73
Prince George’s Maryland 24098 764 3.17
Duval Florida 23972 210 0.88
Shelby Tennessee 23785 315 1.32
Travis Texas 23421 313 1.34
Mecklenburg North Carolina 22612 243 1.07
Suffolk Massachusetts 22017 1076 4.89
Milwaukee Wisconsin 21396 462 2.16
Fulton Georgia 21140 455 2.15
Davidson Tennessee 21044 221 1.05
Salt Lake Utah 21034 202 0.96
Bergen New Jersey 20899 2036 9.74
Hidalgo Texas 20767 881 4.24
Gwinnett Georgia 20685 275 1.33
Essex New Jersey 19813 2110 10.65
Hudson New Jersey 19749 1505 7.62
Hennepin Minnesota 19677 840 4.27
Franklin Ohio 18965 531 2.80
Montgomery Maryland 18641 806 4.32
Pima Arizona 18508 505 2.73
Pinellas Florida 18217 522 2.87
Fairfield Connecticut 18088 1410 7.80
Middlesex New Jersey 17988 1409 7.83
Fresno California 17978 191 1.06
Essex Massachusetts 17930 1194 6.66
Passaic New Jersey 17748 1242 7.00
El Paso Texas 17210 310 1.80
Cameron Texas 17069 485 2.84
King Washington 16941 684 4.04
Lee Florida 16872 362 2.15
Union New Jersey 16780 1348 8.03
Fairfax Virginia 16642 529 3.18
Out of GA Georgia 16470 96 0.58
Nueces Texas 16234 259 1.60
Marion Indiana 16194 731 4.51
Oakland Michigan 15876 1133 7.14
Providence Rhode Island 15644 0 0.00
Jefferson Louisiana 15509 529 3.41
St. Louis Missouri 15485 672 4.34
Polk Florida 14812 334 2.25
DeKalb Georgia 14485 247 1.71
Cobb Georgia 14279 326 2.28
Alameda California 14112 209 1.48
Rockland New York 13966 674 4.83
San Joaquin California 13870 235 1.69
Cuyahoga Ohio 13869 512 3.69
Worcester Massachusetts 13686 1007 7.36
Jefferson Alabama 13463 261 1.94
Baltimore Maryland 13463 567 4.21
New Haven Connecticut 13254 1109 8.37
Baltimore City Maryland 12991 434 3.34
Santa Clara California 12962 207 1.60
District of Columbia District of Columbia 12959 593 4.58
Lake Illinois 12939 449 3.47
Hartford Connecticut 12830 1416 11.04
Charleston South Carolina 12555 206 1.64
DuPage Illinois 12511 522 4.17
East Baton Rouge Louisiana 12477 360 2.89
Sacramento California 12274 179 1.46
Wake North Carolina 12263 178 1.45
Tulare California 11643 205 1.76
Yuma Arizona 11641 290 2.49
Douglas Nebraska 11608 139 1.20
Orange New York 11191 491 4.39
Greenville South Carolina 11056 218 1.97
Oklahoma Oklahoma 10951 119 1.09
Tulsa Oklahoma 10898 110 1.01
Stanislaus California 10855 177 1.63
Orleans Louisiana 10851 564 5.20
Macomb Michigan 10794 949 8.79
Norfolk Massachusetts 10682 997 9.33
Mobile Alabama 10671 216 2.02
Ocean New Jersey 10652 1020 9.58
Polk Iowa 10535 208 1.97
Collier Florida 10530 146 1.39
Fort Bend Texas 10487 173 1.65

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc